The usage of location based big data and trip planning services for the estimation of a long-distance travel demand model. Predicting the impacts of a new high speed rail corridor
| العنوان: | The usage of location based big data and trip planning services for the estimation of a long-distance travel demand model. Predicting the impacts of a new high speed rail corridor |
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| المؤلفون: | Carlos Llorca, Joanna Ji, Rolf Moeckel, Joseph Molloy |
| المصدر: | Research in Transportation Economics, 72 |
| بيانات النشر: | Elsevier BV, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Online trip planning, Computer science, Economics, Econometrics and Finance (miscellaneous), Big data, 0211 other engineering and technologies, Transportation, 02 engineering and technology, Long-distance travel, Location-based social networks, Transport engineering, 0502 economics and business, Mode choice, Multinomial logistic regression, Service (business), Travel demand modeling, 050210 logistics & transportation, Level of service, business.industry, 05 social sciences, 021107 urban & regional planning, High-speed railway, ddc, ddc:380, Travel demand model, Long-distance travel, High-speed rail, Location-based social network, Online trip planning, Travel survey, TRIPS architecture, business, Trip generation |
| الوصف: | Travel demand models are a useful tool to assess transportation projects. Within travel demand, long-distance trips represent a significant amount of the total vehicle-kilometers travelled, in contrast to commuting trips. Consequently, they pay a relevant role in the economic, social and environmental impacts of transportation. This paper describes the development of a microscopic long-distance travel demand model for the Province of Ontario (Canada) and analyzes the sensitivity to the implementation of a new high speed rail corridor. Trip generation, destination choice and mode choice models were developed for this research. Multinomial logit models were estimated and calibrated using the Travel Survey for Residents in Canada (TSRC). It was complemented with location-based social network data from Foursquare, improving the description of activities and diverse land uses at the destinations. Level of service of the transit network was defined by downloading trip time, frequency and fare using the planning service Rome2rio. New scenarios were generated to simulate the impacts of a new high speed rail corridor by varying rail travel times, frequencies and fares of the rail services. As a result, a significant increase of rail modal shares was measured, directly proportional to speed and frequency and inversely proportional to price. Research in Transportation Economics, 72 ISSN:0739-8859 ISSN:1875-7979 |
| وصف الملف: | application/pdf; application/application/pdf |
| تدمد: | 0739-8859 1875-7979 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e788b83a0b9a026fb7b8700818405743Test https://doi.org/10.1016/j.retrec.2018.06.004Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....e788b83a0b9a026fb7b8700818405743 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 07398859 18757979 |
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